VP, Enterprise Data Platform
San Francisco, United States
R
USD 225K-330K Executive-level Full Time
Tasks
- Align platform capabilities with business priorities
- Build and lead data platform engineering organizations
- Build and operate enterprise data platform
- Define enterprise data platform architecture
- Develop AI/ML platform capabilities
- Drive platform modernization
- Ensure security, privacy, and regulatory compliance
- Establish data governance standards
- Implement semantic layers and data products
- Improve observability and lifecycle management
- Lead enterprise platform adoption
- Lead lakehouse architecture
- Lead streaming and batch data processing
- Manage data quality lineage metadata and cataloging
- Set engineering standards and reference implementations
Perks/Benefits
- 401k retirement plan
- Company Safe Harbor Match
- Dental insurance
- Family planning support
- Flexible spending account
- Health savings account
- Healthcare coverage
- Paid Company Holidays
- Paid parental leave
- Paid time off
- Vision insurance
- Volunteer day
Skills/Tech-stack
AI/ML | AI/ML Platforms | Batch Data Processing | Batch data | Cloud Data | Cloud Data Ecosystems | Cloud Native | Data Catalog | Data Ecosystems | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Privacy | Data Processing | Data Quality | Data Security | Data Warehouse | Data platform | Distributed Systems | Lakehouse | ML Platforms | Machine Learning | Machine learning lifecycle | Metadata Management | Observability | Regulatory Compliance | Semantic layer | Streaming Data | Streaming data processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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